A risk aversion optimal model for microenergy grid low carbon‐oriented operation considering power‐to‐gas and gas storage tank

Abstract

Summary Power‐to‐gas storage (P2GS) provides a new approach for clean energy accommodation, which could be used to support the development of the microenergy grid (MEG). This paper designs a novel structure of MEG including power sources, heating sources, and P2GS. The risk condition values (CVaR) is applied to analyze the uncertainties from wind power plant, photovoltaic power generation, and solar collectors, and a multiobjective optimal model is proposed for balancing the operation economic benefit and the risk level. Then different membership functions are selected for converting the multiobjective model into a mixed integer programming model. Finally, an industrial park in northern China was selected to verify the proposed model. The results show that (a) complementary effect exists in different clean energy sources and P2GS can convert excess energy into CH4 for power generation, which are better for achieving the power‐to‐gas‐to‐power cycle optimization effect. (b) The proposed optimal model could balance revenue and risk, rationally control its operation risk while pursuing the maximum operation benefits, which is better to achieve MEG's optimal equilibrium operation. (c) Maximum emission trade allowance could enhance MEG's enthusiasm for clean energy accommodation, and P2GS could be a feasible way for near‐zero carbon emissions. Therefore, the proposed risk aversion optimal model could increase the economic benefits and control the risks and provide decision support for decision makers.

Coordinated Energy Management for Micro Energy Systems Considering Carbon Emissions Using Multi-Objective Optimization

“…where Q GB,t is the GB heating output over time te is the PBDR cooling output over time t. The PBDR is given by the price elasticity of demand [20].…”

A Risk Aversion Dispatching Optimal Model for a Micro Energy Grid Integrating Intermittent Renewable Energy and Considering Carbon Emissions and Demand Response

“…As for the principle of the gas turbine, existing research is very mature [18]. This paper directly quotes power and heating supply models in reference [19]. The specific model is as follows:…”

“…EC mainly includes power-to-gas (P2G), power-to-cooling (P2C), power-to-heat (P2H), and heat-to-cooling (H2C) convertors. The operating power model of various types of EC equipment has already been constructed in our previous works [19].…”

“…The electricity, heating and cooling prices provided by the demonstration project were executed at real-time prices of different energy markets, as shown in Figure 3. To analyze the influence of uncertainty, the WPP and PV parameters were set according to reference [10], and 10 typical WPP and PV output scenarios were generated by scenario simulation and the reduction method proposed in reference [19]. The most possible scenario was chosen as the input data, and the prediction deviation was set to 2%.…”

Integrated bidding strategy of distributed energy resources based on novel prediction and market model

“…The powerful multiobjective function model for balancing the achieved profit between microenergy grid resources, such as wind turbines and photovoltaic (PV) cells, is introduced in Ju et al 11 By considering DR, the loading amount can be shifted from peak times to nonpeak times and consequently changes natural resources such as wind and solar. 12 In this paper, new strategies of existence in the markets are presented and have been used by turbine storage to come up with market needs.…”