Zone division models and algorithms in zonal pricing power market

Abstract

SUMMARYZone division is a major problem in new electricity trading arrangements (NETA) and some other zone-pricing power markets. However, the research efforts in this field are very limited. Therefore, a kind of zone division problem is primarily studied in this paper. The concept of zone of a node set is proposed and defined as the minimum-girthed convex polygon containing these nodes, which can help us implement the proximity of nodes within groups in geographical locations. Furthermore, two combinatorial optimization models for given group number and minimizing the group number are built. Two algorithms based on tabu search (TS) and embedded by TS are developed to solve the models. Finally, the models are tested and proved by a real-life example from the northeastern grid of China. Compared to the existing methods, the proposed method is auto-operable and electrical-information based, and hence applicable.

Partitioning Power Grid for the Design of the Zonal Energy Market While Preserving Control Area Constraints

“…An interesting early approach to bidding zone delimitation is the idea of using the maximum spread of nodal prices within groups using the tabu search heuristic proposed by [16], which addresses the specific needs of the British Electricity Trading and Transmission Arrangements (BETTA). However, the current arrangement chosen for, among others, the integrated market of EU countries takes on a different approach based on the Market Coupling algorithm, which calls for yet another approach.…”

A modified fuzzy clustering algorithm for market zonal partitioning in electricity markets

“…Although there is no congestion on transmission equipment, all nodal prices are the same (ignoring the negligible effect of transmission loss), and the market is kept unified, but after the occurrence of the congestion, the nodal price varies in different nodes [1][2][3]. Although there is no congestion on transmission equipment, all nodal prices are the same (ignoring the negligible effect of transmission loss), and the market is kept unified, but after the occurrence of the congestion, the nodal price varies in different nodes [1][2][3].…”

“…Transmission congestion is an operating condition when there is no sufficient network transfer capacity to deliver all traded power owing to network constraints. Although there is no congestion on transmission equipment, all nodal prices are the same (ignoring the negligible effect of transmission loss), and the market is kept unified, but after the occurrence of the congestion, the nodal price varies in different nodes [1][2][3]. This is usually because of the differences between marginal costs of different generators.…”

“…This is usually because of the differences between marginal costs of different generators. One of the usual and efficient methods to tackle or mitigate the congestion is market zonal partitioning [1,2,4,5]. After the market partitioning, each zone may have an individual marginal price and consequently the power flow through the congested equipment will reduce.…”

Constrained coordinated distributed control of smart grid with asynchronous information exchange

“…Distributed approaches can utilize local data by partitioning the network according to such factors as the electrical properties of the network and the forecast power flow [28][29][30]. For example, in [31] epsilon decomposition is used to determine the range of influence of the network's DG, which is then utilized to control voltages should they exceed operating limits.…”