Key Problems of Source-load Interaction in New Energy Power System Based on Multi-objective Optimization

Abstract

In the face of the current global shortage of fossil energy, the greenhouse effect seriously affects the development of the world economy and people's health, countries are actively seeking new energy(NE) to replace fossil energy, in order to achieve sustainable economic development and curb the continuous warming of the global climate, which will dominate the future development. At the same time, the breakthrough of modern technology in comprehensive energy technology makes the urban power grid gradually change to electricity-based, and includes water, heat, gas and other multi-energy supply forms. The increase in the installed scale of renewable energy(RE) has brought many problems to the operation and scheduling of the power system(PS). The NEPS(NEPS) actively and fully accepts RE, and its power supply side contains a large number of intermittent and random fluctuations of RE power. The existing optimal dispatch strategies for PSs including RE that consider emissions do not fully consider source-load interaction(SLI), and ignore the deep peak regulation of units and the joint dispatch of user loads under the new situation. To this end, this paper analyzes the user-side characteristics of wind, solar and thermal power generation(PG) units through the multi-objective optimization(MOO) model of the cost of the NEPS, and simulates five dispatching scenarios on the source-load interactive platform. The PS is optimally dispatched to reduce the economic cost of the unit.