Improvement in social welfare division among buyer and supplier in LP based market clearing method in day-ahead electricity market

ABSTRACT

Most Electric Power Exchange (PX) around the world employs Linear Programming (LP) based method for step-wise market clearing in Day-Ahead Electricity Market (DAM). Market clearing  involves calculation of Market Clearing Volume (MCV) and Market Clearing Price (MCP) for various time blocks. LP based method gives accurate results when there exists unique intersection point between cumulative supply and cumulative demand curve. It requires additional information to handle multiple intersection points. But MCP obtained using LP based method leads to an unfair social welfare division among suppliers and buyers. Therefore, this paper investigates all possible cases where there exists an unfair social welfare division among suppliers and buyers. Modification to the existing LP based market clearing method to obtain that market equilibrium point which results in fair social welfare division is also discussed. The performance of the proposed method to obtain MCV & MCP which ensures fair social welfare division between suppliers and buyers under six different cases is tested using a simple test problem and DAM data obtained from Indian Energy Exchange (IEX) websites. Results clearly show that the proposed method is capable enough to generate market equilibrium which results in fair social welfare division among buyers and suppliers.

Abbreviations: PX - Electric Power Exchange; LP - Linear Programming; DAM - Day Ahead Electricity Market; MCV - Market Clearing Volume; MCP - Market Clearing Price; IEX - Indian Energy Exchange; USD - United States Dollar; REC - Renewable Energy; TAM - Term Ahead Market; CERC - Central Electricity Regulatory Commission

KEYWORDS:

• Power exchange
• day-ahead electricity market
• market clearing volume
• market clearing price and Indian energy exchange

Disclosure statement

No potential conflict of interest was reported by the authors.

Additional information

Notes on contributors

Devnath Shah

Devnath Shah received B. Tech in Electrical & Electronics Engineering from NIT, Arunachal Pradesh, India in 2015 and M. Tech in Power System Engineering from North Eastern Regional Institute of Science and Technology (NERIST), Arunachal Pradesh in 2017. He is currently pursuing Ph.D. degree at Electrical Engineering Department, NERIST, Arunachal Pradesh under the guidance of Dr. Saibal Chatterjee. His research interests include power system economics and optimization.

Saibal Chatterjee

Saibal Chatterjee (SM IEEE 2013) received B.E in Electrical Engineering from NIT, Durgapur, India in 1990, and M.E in Electrical Engineering from Jadavpur University, Kolkata, India in 1994 and PhD in Electrical Engineering from Jadavpur University in 2007. He is currently serving as a Professor in Electrical Engineering Department, NERIST, and Arunachal Pradesh. His research interests include power system and High voltage.